Untargeted urine metabolomics reveals dynamic metabolic differences and key biomarkers across different stages of Alzheimer’s disease
This study systematically analyzed the dynamic metabolic differences during the progression of AD and identified key metabolites and pathways as potential biomarkers for early prediction and intervention. Utilizing urinary metabolomics, the findings provide a theoretical basis for monitoring AD progression and contribute to improving prevention and intervention strategies, thereby potentially delaying disease progression.
Authors
- Xin Feng (ORCID: https://orcid.org/0000-0001-8089-4005)
- Shenglan Zhao
Institutions
- Shandong Provincial Hospital (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-01-27
- DOI
- https://doi.org/10.3389/fnagi.2025.1530046
- Citations
- 3
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.42